Computer system performance evaluation is a key discipline for the understanding of the behavior and limitations of large scale computer systems and networks. This volume provides an overview of the milestones and major developments of the field. The contributions to the book include many of the principal leaders from industry and academia with a truly international coverage, including several IEEE and ACM Fellows, two Fellows of the US National Academy of Engineering and a Fellow of the European Academy, and a former President of the Association of Computing Machinery. Sample Chapter(s). Chapter 1: Ken Sevcik as an Advisor and Mentor (252 KB). Contents: Ken Sevcik as an Advisor and Mentor (E Lazowska et al.); Shadow Servers and Priority Scheduling (J P Buzen); On the Chronology of Dynamic Allocation Index Policies: The Pioneering Work of K C Sevcik (E Coffman); Operational Analysis (P J Denning); Function Approximation by Random Neural Networks with a Bounded Number of Layers (E Gelenbe et al.); The Achilles'' Heel of Computer Performance Modeling and the Model Building Shield (V De Nitto Person & G Lazeolla); Wireless Network Simulation: Towards a Systematic Approach (S K Tripathi et al.); Location- and Power-Aware Protocols for Wireless Networks with Asymmetric Links (G Wang et al.); Multi-Threaded Servers with High Service Time Variation for Layered Queueing Networks (G Franks et al.); Quantiles of Sojourn Times (P G Harrison & W J Knottenbelt); Asymptotic Solutions for Two Non-Stationary Problems in Internet Reliability (Y Kogan & G Choudhury); Burst Loss Probabilities in an OBS Network with Dynamic Simultaneous Link Possession (T Battestilli & H Perros); Stochastic Analysis of Resource Allocation in Parallel Processing Systems (M S Squillante); Periodic Task Cluster Scheduling in Distributed Systems (H Karatza). Readership: Graduate students, Internet engineers, computer scientists, system engineers, and computer designers. Also suitable for use in professional development seminars in computers and networks.
Distributed Database Systems (DDBS) may be defined as integrated database systems composed of autonomous local databases, geographically distributed and interconnected by a computer network.The purpose of this monograph is to present DDBS concurrency control algorithms and their related performance issues. The most recent results have been taken into consideration. A detailed analysis and selection of these results has been made so as to include those which will promote applications and progress in the field. The application of the methods and algorithms presented is not limited to DDBSs but also relates to centralized database systems and to database machines which can often be considered as particular examples of DDBSs.The first part of the book is devoted to basic definitions and models: the distributed database model, the transaction model and the syntactic and semantic concurrency control models. The second discusses concurrency control methods in monoversion DDBSs: the locking method, the timestamp ordering method, the validation method and hybrid methods. For each method the concept, the basic algorithms, a hierarchical version of the basic algorithms, and methods for avoiding performance failures are given. The third section covers concurrency control methods in multiversion DDBSs and the fourth, methods for the semantic concurrency model. The last part concerns performance issues of DDBSs.The book is intended primarily for DDBMS designers, but is also of use to those who are engaged in the design and management of databases in general, as well as in problems of distributed system management such as distributed operating systems and computer networks.
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